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Characterising liberation and flotation potential using image analysis, simulated fragmentation and small-scale flotation
Citation
Hunt, J and Berry, R and Bradshaw, D, Characterising liberation and flotation potential using image analysis, simulated fragmentation and small-scale flotation, Proceedings of the 1st Australasian Institute of Mining and Metallurgy International Geometallurgy Conference (GeoMet 2011), 05-07 September 2011, Brisbane, pp. 331-333. ISBN 9781921522499 (2011) [Refereed Conference Paper]
Copyright Statement
Copyright 2011 The Australasian Institute of Mining and Metallurgy
Official URL: http://www.ausimm.com.au/publications/epublication...
Abstract
A critical aspect of geometallurgy is quantifying mineralogical and textural relationships that affect
mineral processing (eg, liberation and recovery). However, to date, this has been an expensive and
time consuming venture and only minimal amounts of this type of data are typically available to
be included in the mine planning process. Our research is focused on developing methods that will
produce the required mineralogical and textural data rapidly and inexpensively. New methods of
characterising liberation potential from image analysis of coarse particulate material and direct
small-scale flotation measurement are compared with measurement of liberation at final grind size
(ie conventional tests on MLA). The new tests are designed to rank the liberation potential of samples
in order to classify an ore deposit into domains oflow, medium and high liberation potential. This
parameter can then be used to adjust the cutoff used to differentiate ore from waste. Results to date
show that all tests provide the same ranking for the samples. The measurement based on coarse
particulate material compares favourably to the results from MLA analyses on the same samples.
Further work is being carried out to determine which of the tests will be the most effective in terms
of time, effort and cost.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | geometallurgy, MLA analysis |
Research Division: | Engineering |
Research Group: | Resources engineering and extractive metallurgy |
Research Field: | Mineral processing/beneficiation |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the earth sciences |
UTAS Author: | Hunt, J (Dr Julie Hunt) |
UTAS Author: | Berry, R (Associate Professor Ron Berry) |
ID Code: | 120148 |
Year Published: | 2011 |
Deposited By: | CODES ARC |
Deposited On: | 2017-08-11 |
Last Modified: | 2018-03-16 |
Downloads: | 0 |
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